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- W1968901066 abstract "The information generated by the integrated sensor suite is massive. Simply bringing the information to the decision makers is a cognitive disaster due to the information overload. Intelligent algorithms need to be developed to exploit and filter the information. In this work, we seek to develop content-level change detection and activity-level information fusion and filtering algorithms to detect unusual activities for persistent target surveillance applications." @default.
- W1968901066 created "2016-06-24" @default.
- W1968901066 creator A5045519742 @default.
- W1968901066 date "2005-05-20" @default.
- W1968901066 modified "2023-10-16" @default.
- W1968901066 title "Unusual activity detection for persistent target surveillance" @default.
- W1968901066 doi "https://doi.org/10.1117/12.602347" @default.
- W1968901066 hasPublicationYear "2005" @default.
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